This paper presents the development of an autonomous human-tracking trolley for logistics applications, particularly in airports. The system utilizes Wi-Fi signal strength mapping to follow a designated operator, employing unique identification to ensure precise tracking in crowded environments. Equipped with ultrasonic sensors for real-time person tracking and Bluetooth-enabled remote control for manual operation, the trolley maintains optimal distance and adapts to changes in the operator's speed. Additionally, a load cell system monitors load weight, ensuring safe load management, activating a buzzer when the threshold is exceeded. The methodology addresses critical challenges such as dynamic human tracking and maintaining safe operational distance. Experimental evaluations demonstrate the system’s efficiency in human tracking, obstacle navigation, and load monitoring, offering a cost-effective and scalable solution for automated transport in logistics. This research contributes to the field of autonomous systems, providing practical applications for enhancing efficiency in material handling and transportation tasks.